{"id":"W6907492927","doi":"10.18738/t8/ejonhj/agd0ru","title":"IMGEO2_2018157_DEV_JKB2t_Y61a.txt","year":2024,"lang":"en","type":"dataset","venue":"Texas Digital Library (University of Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00108321,0.00357585,0.001900685,0.003723244,0.001340949,0.004057965,0.004256506,0.003450382,0.29184],"category_scores_gemma":[0.006188064,0.001169352,0.001804312,0.006581546,0.0006675272,0.002721727,0.00330756,0.002502247,0.422587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859735,"about_ca_system_score_gemma":0.002500144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02993073,"about_ca_topic_score_gemma":0.05355004,"domain_scores_codex":[0.9989585,0.0001676411,0.00008029558,0.0003438945,0.0002068698,0.0002429123],"domain_scores_gemma":[0.9976869,0.0007046939,0.0001626401,0.0005604519,0.0005716265,0.0003138161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002479001,0.000006583814,0.0001170085,0.0001968788,0.000006859723,0.000005658762,0.000008501526,0.00006890851,0.0000306367,0.0001692708,0.9988263,0.0005386382],"study_design_scores_gemma":[0.0002363815,0.00001614934,0.001243228,0.0002170055,0.00001611054,0.00002679674,0.00006967269,0.0002944443,0.0002514217,0.001106066,0.9964957,0.00002696735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003728001,0.00003008717,0.00003163886,0.00006546395,0.00003169152,0.000005185092,0.9983473,0.0005602214,0.0008910734],"genre_scores_gemma":[0.000134078,0.00003110964,0.000123804,0.00005199189,0.000009497002,0.00003691991,0.9983334,0.0002196546,0.00105963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.70816,"threshold_uncertainty_score":0.976302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060996403661756,"score_gpt":0.1914588396809049,"score_spread":0.1808488756442874,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}